---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-counterfactual-babylm-indef-removal-seed_1024-1e-4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# smolm-autoreg-bpe-counterfactual-babylm-indef-removal-seed_1024-1e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4350
- Accuracy: 0.4063

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 32
- eval_batch_size: 64
- seed: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 32000
- num_epochs: 20.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 4.0569        | 1.0   | 18595  | 4.2925          | 0.3078   |
| 3.5613        | 2.0   | 37190  | 3.7467          | 0.3633   |
| 3.3894        | 3.0   | 55785  | 3.5963          | 0.3802   |
| 3.2856        | 4.0   | 74380  | 3.5303          | 0.3880   |
| 3.2222        | 5.0   | 92975  | 3.4793          | 0.3935   |
| 3.1693        | 6.0   | 111570 | 3.4552          | 0.3967   |
| 3.13          | 7.0   | 130165 | 3.4350          | 0.3992   |
| 3.0982        | 8.0   | 148760 | 3.4201          | 0.4011   |
| 3.0659        | 9.0   | 167355 | 3.4224          | 0.4025   |
| 3.0359        | 10.0  | 185950 | 3.4172          | 0.4028   |
| 3.0157        | 11.0  | 204545 | 3.4154          | 0.4036   |
| 2.9936        | 12.0  | 223140 | 3.4075          | 0.4043   |
| 2.9676        | 13.0  | 241735 | 3.4182          | 0.4048   |
| 2.9444        | 14.0  | 260330 | 3.4119          | 0.4057   |
| 2.9265        | 15.0  | 278925 | 3.4089          | 0.4056   |
| 2.9105        | 16.0  | 297520 | 3.4230          | 0.4058   |
| 2.8892        | 17.0  | 316115 | 3.4260          | 0.4060   |
| 2.8774        | 18.0  | 334710 | 3.4290          | 0.4063   |
| 2.8592        | 19.0  | 353305 | 3.4288          | 0.4065   |
| 2.8472        | 20.0  | 371900 | 3.4350          | 0.4063   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.14.1